testdummyvt/hagRIDv2_512px
Dataset Description Dataset Summary HaGRIDv2 is a large-scale image dataset designed for hand gesture recognition (HGR). It contains 1,086,158 FullHD RGB images across 33 gesture classes and an additional "no_gesture" class, which represents natural hand postures. This dataset is ideal for developing HGR systems for applications like video conferencing, home automation, and automotive interfaces. While composed of static images, it also supports training models… See the full description on the dataset page: https://huggingface.co/datasets/testdummyvt/hagRIDv2_512px.
| Author / organization | testdummyvt |
|---|---|
| License (as declared) | other |
| Downloads | 956 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 May 2025 |
| Last updated at source | 18 May 2025 |
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- 17 Oct 2026 Description: Dataset Description Dataset Summary HaGRIDv2 is a large-scale image dataset designed for hand gesture recognition (HGR). It contains 1,086,158 FullHD RGB images across 33 gesture classes and an additional "no_gesture" class, which represent → Dataset Description Dataset Summary HaGRIDv2 is a large-scale image dataset designed for hand gesture recognition (HGR). It contains 1,086,158 FullHD RGB images across 33 gesture classes and an additional "no_gesture" class, which represent
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